ValueError: could not convert string to float: when running model

@rich_fl wrote:

hello all,

I’m new to Python, hope someone can shed some light on this error and how python works.
I’m getting the error below when i run linear.fit(X_train, Y_train) where Electronic is a name of a column in my dataframe. I get it with other categorical columns as well.

ValueError: could not convert string to float: 'Electronic’

Does this mean I have to convert all my predictors to numeric values before I can run any model in Python?

Will a model ever run without converting predictors to numerical values?

Thanks!

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